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Removing Noise Dots Points from the Scanning various Images using Epipolar Geometry with Matlab

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IJCA Proceedings on International Conference on Recent Trends in Information Technology and Computer Science 2012
© 2013 by IJCA Journal
ICRTITCS - Number 6
Year of Publication: 2013
Authors:
Abdul Jabbar Shaikh Azad
Patil Yogesh Uttam
Sharad D. Patil
Ramesh R. Manza

Abdul Jabbar Shaikh Azad, Patil Yogesh Uttam, Sharad D Patil and Ramesh R Manza. Article: Removing Noise Dots Points from the Scanning various Images using Epipolar Geometry with Matlab. IJCA Proceedings on International Conference on Recent Trends in Information Technology and Computer Science 2012 ICRTITCS(6):16-19, February 2013. Full text available. BibTeX

@article{key:article,
	author = {Abdul Jabbar Shaikh Azad and Patil Yogesh Uttam and Sharad D. Patil and Ramesh R. Manza},
	title = {Article: Removing Noise Dots Points from the Scanning various Images using Epipolar Geometry with Matlab},
	journal = {IJCA Proceedings on International Conference on Recent Trends in Information Technology and Computer Science 2012},
	year = {2013},
	volume = {ICRTITCS},
	number = {6},
	pages = {16-19},
	month = {February},
	note = {Full text available}
}

Abstract

In this paper, we explore possibilities to improve quality images by using Epipolar geometry with mat lab. The source images can give best results with the best clarity pixel to pixel achievement. The goal is make character segmentation results more reduce the need image for user interaction with the help of Epipolar geometry. We clean up isolated noise dots without removing small dots that are parts of characters. The system has been tested with real camera images or satellite images under various character conditions. We discover a set of high geometric and appearance constraints with low level the images matches' reliable matching results. We use lines because they have some advantages with respect to points, particularly in manmade environments. We cleaned dots on images estimating thresholding simultaneously with transformation method. We are closely trying to solve Mat lab scripts to clean up scanned pages from old manuscripts. To find particular character with clean noise dots from the image database sources.

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